Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, identifying emerging trends, and translating complex scientific challenges into actionable research plans. Excellent communication skills (english, spanish and catalan): Exceptional written and verbal
-
, identifying emerging trends, and translating complex scientific challenges into actionable research plans. Excellent communication skills (english, spanish and catalan): Exceptional written and verbal
-
papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
-
: We are looking for a highly skilled candidate with extensive experience in: High-resolution chemical and structural analysis of complex organic-inorganic nanomaterials using STEM coupled with EDX and
-
Background: An advanced degree (Ph.D. preferred) in Artificial Intelligence, Computer Science, Engineering, or a related field. Leadership Experience: At least 2 years of leadership experience in academic
-
, composition, and structural complexity. The group integrates Safe and Sustainable by Design (SSbD) and green chemistry principles from early development stages to guide responsible innovation across materials
-
are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational
-
) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
-
including the perspective on technological relevance. The project combines experimental work, involving preparation and in-depth characterization of complex oxide thin film and heterostructures. Evaluation
-
processing methods. Highly motivated and enthusiastic researcher. Strong analytical skills and a keen interest in the interpretation of complex data. Excellent organization skills, time management and ability